26:38
I went through 100+ LLM papers from 2024 - these 17 were the best!
16:39
All the Computer Vision AI research you may have missed in 2024...
36:55
Visually explaining Byte Latent Transformers - LLMs just got a massive breakthrough!
24:51
Turns out Attention wasn't all we needed - How have modern Transformer architectures evolved?
15:43
Vision Transformers - The big picture of how and why it works so well.
47:09
From Attention to Generative Language Models - One line of code at a time!
17:27
The RAG Visual Breakdown - The Ultimate guide to building powerful LLM pipelines!
38:55
Finetune LLMs to teach them ANYTHING with Huggingface and Pytorch | Step-by-step tutorial
20:33
Llama 3.2 Vision - How to make a Multimodal project | Step by Step tutorial
31:31
The complete TextGrad Tutorial - Easily optimize LLM prompts, math, and code!
12:33
So you think you know Text to Video Diffusion models?
21:01
How to write YOLO networks from the ground up for object detection
19:42
The Machine Learning behind Apple Intelligence - Blueprint of a Modern LLM
34:42
Complete DSPy Tutorial - Master LLM Prompt Programming in 8 amazing examples!
15:41
How does Segment Anything 2 (SAM 2) work? Paper and Network Architecture Explained!
12:57
How Neural Nets estimate depth from 2D images? Monocular Depth Estimation Explained!
21:38
The entire history of Computer Vision explained one great visualization at a time.
24:58
Text to Image Diffusion AI Model from scratch - Explained one line of code at a time!
17:05
Kolmogorov Arnold Networks (KAN) Paper Explained - An exciting new paradigm for Deep Learning?
09:09
I made a game where all the LLMs have to lie to each other
10:52
Coding Image Segmentation with UNet from first principles | Football Computer Vision
19:43
But what does a trained Convolution Neural Network actually learn? VISUALIZED!
21:21
A historical look at the definitions of AGI - Alignment, Consciousness, Behavior
12:10
Two Large Language Models DEBATE about AGI and Humanity + How i did it! (ChatGPT vs Mixtral)
17:37
If LLMs are text models, how do they generate images?
12:05
Here is how Transformers ended the tradition of Inductive Bias in Neural Nets
12:31
The many amazing things about Self-Attention and why they work
18:06
Neural Attention - This simple example will change how you think about it
09:45
How Multi-Agent AI learn by continuously competing against themselves | Self Play
13:19
Reinforcement Learning AI through 4 famous projects!
09:59
Visualizing the Latent Space: This video will change how you imagine neural nets!
09:36
JEPA Architectures - How neural networks learn abstract concepts about images (IJEPA)
15:52
Reinforcement Learning Meets Prompt Engineering | How do LLMs play video games?
20:19
Multimodal AI from First Principles - Neural Nets that can see, hear, AND write.
17:32
10 years of NLP history explained in 50 concepts | From Word2Vec, RNNs to GPT
13:02
Explaining the Segment Anything Model - Network architecture, Dataset, Training
07:34
My AI played millions of games against itself | Self Play (Unity Devlog 05)
14:38
Understanding Zip-NeRF - a cool new AI algorithm for 3D scene synthesis
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